
What happens when a software deployment, powered by cutting-edge AI, goes catastrophically wrong in mere seconds, costing a company millions? In an era where agentic AI systems autonomously code, test, and deploy at breakneck speed, such scenarios are no longer theoretical, and the promise of streamlined pipelines and rapid releases has captivated the tech industry, but a hidden danger lurks










